MobileSqueezeNet [1]} is a lightweight CNN released with Intel's OpenVino framework and model zoo, for face recognition in re-identification scenarios. It is based on MobileNet V2 [2]} backbone, which consists of 3x3 inverted residual blocks with squeeze-excitation attention modules. After the backbone, the network applies global depthwise pooling and then uses 1x1 convolution to create the final 256-dimensional embedding vector.
